MAPMaN: Multi‐Stage U‐Shaped Adaptive Pattern Matching Network for Semantic Segmentation of Remote Sensing Images
T. Hong,
X. Ma,
X. Wang
et al.
Abstract:Remote sensing images (RSIs) often possess obvious background noises, exhibit a multi‐scale phenomenon, and are characterized by complex scenes with ground objects in diversely spatial distribution pattern, bringing challenges to the corresponding semantic segmentation. CNN‐based methods can hardly address the diverse spatial distributions of ground objects, especially their compositional relationships, while Vision Transformers (ViTs) introduce background noises and have a quadratic time complexity due to den… Show more
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